mlpack_det

NAME

mlpack_det - density estimation with density estimation trees

SYNOPSIS

mlpack_det [-h] [-v]

DESCRIPTION

This program performs a number of functions related to Density Estimation Trees. The optimal Density Estimation Tree (DET) can be trained on a set of data (specified by --training_file or -t) using cross-validation (with number of folds specified by --folds). This trained density estimation tree may then be saved to a model file with the --output_model_file (-M) option.

The variable importances of each dimension may be saved with the --vi_file (-i) option, and the density estimates on each training point may be saved to the file specified with the --training_set_estimates_file (-e) option.

This program also can provide density estimates for a set of test points, specified in the --test_file (-T) file. The density estimation tree used for this task will be the tree that was trained on the given training points, or a tree stored in the file given with the --input_model_file (-m) parameter. The density estimates for the test points may be saved into the file specified with the --test_set_estimates_file (-E) option.

OPTIONAL INPUT OPTIONS

--folds (-f) [int]

The number of folds of cross-validation to perform for the estimation (0 is LOOCV) Default value 10.

--help (-h) [bool]

Default help info. Default value 0.

--info [string]

Get help on a specific module or option. Default value ’’. --input_model_file (-m) [string] Trained density estimation tree to load. Default value ’’.

--max_leaf_size (-L) [int]

The maximum size of a leaf in the unpruned, fully grown DET. Default value 10.

--min_leaf_size (-l) [int]

The minimum size of a leaf in the unpruned, fully grown DET. Default value 5.

--test_file (-T) [string]

A set of test points to estimate the density of. Default value ’’. --training_file (-t) [string] The data set on which to build a density estimation tree. Default value ’’.

--verbose (-v) [bool]

Display informational messages and the full list of parameters and timers at the end of execution. Default value 0.

--version (-V) [bool]

Display the version of mlpack. Default value

0.

OPTIONAL OUTPUT OPTIONS

--output_model_file (-M) [string] Output to save trained density estimation tree to. Default value ’’. --test_set_estimates_file (-E) [string] The output estimates on the test set from the final optimally pruned tree. Default value ’’. --training_set_estimates_file (-e) [string] The output density estimates on the training set from the final optimally pruned tree. Default value ’’.
--vi_file (-i) [string]

The output variable importance values for each feature. Default value ’’.

ADDITIONAL INFORMATION

ADDITIONAL INFORMATION

For further information, including relevant papers, citations, and theory, For further information, including relevant papers, citations, and theory, consult the documentation found at http://www.mlpack.org or included with your consult the documentation found at http://www.mlpack.org or included with your DISTRIBUTION OF MLPACK. DISTRIBUTION OF MLPACK.